[aluren]

Low-IF journals are easier to publish to by definition. You first try to publish in a high-IF journal, if they reject you then you try one with lower IF, and so on. I'm all about not taking IF as face value and don't need a n-th reminder about the metric's issues seeing how rehashing them is something of a favorite pastime among scientists, but in this specific case other more qualitative assessments don't line up either:

-Journal is completely obscure to the genomics community

-No causal genetic mechanism is shown, everything is shoved into a "heritability" black box that some people seem to think is like your video game character starting stats or something

-Authors don't have a genetics background

-It's not my field, but there appears to be a wealth of literature on how fertility rates decrease in history, none of them involving "heritability" and little is done to address, reconcile or unify that

-There does seem to be darker political overtones that are exacerbated by commenters, leading me to think the arguments are not being made in good faith

Journal IF is just a (flawed) heuristic but in this case it sets a low prior and the "updates" didn't help

[xamuel]

>There does seem to be darker political overtones that are exacerbated by commenters

Are we reading the same comments section? Which specific comments are you talking about? The comments section I read seemed quite apolitical, except for this particular sub-thread.

>Low-IF journals are easier to publish to by definition.

It might be true that Low-IF journals in general are easier to publish to, but that's not true "by definition". By definition, Low-IF journals are journals whose papers are less-cited (this is an oversimplification, of course). For example, IF tends to vary a lot by field, so in your comment where you casually dismissed anything with IF<4 as a joke, you inadvertently dismissed whole entire fields. For example, one of the absolute top math journals, the "Annals of Mathematics", has an IF of 3.027. I can assure you, it's much harder to publish in the Annals of Mathematics than in a typical genetics journal with an IF of >=4.

[j_wtf_all_taken]

>> There does seem to be darker political overtones that are exacerbated by commenters

> Are we reading the same comments section? Which specific comments are you talking about? The comments section I read seemed quite apolitical, except for this particular sub-thread.

Please.

>> Low-IF journals are easier to publish to by definition.

> (...) By definition, Low-IF journals are journals whose papers are less-cited (this is an oversimplification, of course). For example, IF tends to vary a lot by field, so in your comment where you casually dismissed anything with IF<4 as a joke, you inadvertently dismissed whole entire fields. (...)

Accepted. So in this specific case, do we talk about a journal in a field where an IF of 4 is low or high?

[xamuel]

>Please.

No, you please. I'm genuinely trying to reach a better understanding of your side. What comment did you think was the most political, outside of this sub-thread? Was it the one by car12 [1] which pointed out a quantitative observation about Muslim fertility rates and imagined a future where Islamic parties gain a bigger voice in politics through demographics? If so, what is it about that that's so political? Or if not that, then can you point to another comment that you think was particularly political?

[1] https://news.ycombinator.com/item?id=20361236

[j_wtf_all_taken]

Thank you, really good example for that.

This is also a good one:

> If an antibiotic doesn't wipe out its target, then its target's numbers will be devastated in the short-term, but in the long-term, its target will evolve immunity to the antibiotic and ultimately recover.

> If you think about it, contraceptives are extremely similar to an antibiotic whose target is human beings. We're still living in the short-term when the antibiotic seems to be effective.

Without any further detail or reasoning, just by "thinking about it" (whatever the author meant by that, he did not elaborate), the author draws a pretty extreme conclusion. This seems to be a rather unscientific, political attempt to reply to the original question:

> If this is true, then how do they explain population stabilization in, e.g., Europe, and other developed areas? Why shouldn't what worked for Europe work for the rest of the world?

[xamuel]

You didn't explain what's political about any of those posts.

Just because there's a political party committed to believing "the sky is red" doesn't make it political to say "the sky is blue".

I was the author of the "contraceptives are like antibiotics" comment btw. The point wasn't to make any extreme conclusion (I admit I can see how it could be taken that way in e.g. an abortion debate, but only by reading words between the lines that simply are not there). The point of that comment was not to score points in any political debate but to suggest an intuitive way to think about the results of the paper. Some commenters make the error of extrapolating straight lines, essentially saying "We observe reverse-correlation between education and birthrates over several decades, therefore they must be reverse-correlated forever". I pointed out an example, in a similar context[1], where such linear thinking would be wrong ("We observe the bacteria numbers are declining, therefore they must continue declining forever").

[1] Similar in the sense that they both involve living populations, population growth and decline, growth and decline caused by particular changes, etc.

[j_wtf_all_taken]

> Just because there's a political party committed to believing "the sky is red" doesn't make it political to say "the sky is blue".

Just to clarify this. Why is the former political and the latter not? Because one is false, and one is true?

I would argue that something is scientific or political no matter if its true or false. What counts is the way you try to convince others that it is true. Just as an example:

> The point of that comment was not to score points in any political debate but to suggest an intuitive way to think about the results of the paper. Some commenters make the error of extrapolating straight lines, essentially saying "We observe reverse-correlation between education and birthrates over several decades, therefore they must be reverse-correlated forever". I pointed out an example, in a similar context[1], where such linear thinking would be wrong

Here, you do not really explain why the intuitive thinking used by other authors (extrapolation) is less valid than the intuitive thinking you suggest: you do not explain why the comparison between humans and bacteria in the area of reproduction is valid, given the huge differences between humans and bacteria.

So when you say that "I admit I can see how it could be taken that way in e.g. an abortion debate, but only by reading words between the lines that simply are not there", that is kind of true: it is about the words that are not there - the words you have to provide to explain why your theory might not be wrong.

[_liww]

Please explain why estimates of the twin & SNP heritability of age at first birth are wrong

[j_wtf_all_taken]

I don't really understand how that is relevant for the discussion in this thread.

[_liww]

If anyone thinks the paper is wrong, they are stating that the measures of those values are wrong. The rest is inevitable.

[j_wtf_all_taken]

I do not really understand what you mean with "The rest is inevitable", for example I do not know what exactly you mean with "the rest".

[_liww]

If you accept the heritability for age at first birth has not been measured wrong, then the hypothesis put forth by this paper will come about.

Perhaps I over stated the case by saying inevitable. It's quite feasible that the consequences of highly fertile people overbreeding will be a reduction in civilizational complexity, which will lowerthe total population.

[j_wtf_all_taken]

> If anyone thinks the paper is wrong, they are stating that the measures of those values are wrong. The rest is inevitable.

> If you accept the heritability for age at first birth has not been measured wrong, then the hypothesis put forth by this paper will come about.

First you argue that if the paper is right, the measurements must be right. Then you argue that if the measurements are right, the paper must be right. Both arguments seem illogical, especially when used in that combination.